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Documentation for Vercel AI SDK

  • Why this server?

    This server directly integrates with the Vercel API, enabling management of deployments, DNS records, domains, projects, and environment variables—all relevant to working with Vercel AI SDK projects.

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    An MCP server that provides tools for interacting with Vercel API, enabling management of deployments, DNS records, domains, projects, and environment variables through natural language.
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    TypeScript
    MIT License
  • Why this server?

    While not specifically for Vercel, many Vercel projects use Cloudflare for DNS or other services. Managing these aspects might be relevant alongside Vercel deployments.

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    A lightweight MCP server for managing DNS records, purging cache, and interacting with the Cloudflare API through natural language commands.
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    MIT License
  • Why this server?

    Swiss is an AI-powered command center that orchestrates complex tasks, potentially beneficial for automating tasks related to Vercel deployments and SDK interactions.

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    Swiss MCP is your AI-powered command center for orchestrating complex tasks with ease. Think of it as your personal AI assistant that can coordinate multiple AI tools to accomplish amazing things!
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    Python
    MIT License
  • Why this server?

    This server provides a FastAPI framework with real-time monitoring and vector search, which can be useful in AI application development, possibly in conjunction with Vercel-hosted applications utilizing the AI SDK.

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    A high-performance FastAPI server supporting Model Context Protocol (MCP) for seamless integration with Large Language Models, featuring REST, GraphQL, and WebSocket APIs, along with real-time monitoring and vector search capabilities.
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    Python
    MIT License
  • Why this server?

    A zero-configuration tool for automatically exposing FastAPI endpoints as MCP tools, helpful for developing and integrating custom AI functionalities with Vercel-hosted applications.

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    A zero-configuration tool that automatically exposes FastAPI endpoints as Model Context Protocol (MCP) tools, allowing LLM systems like Claude to interact with your API without additional coding.
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    MIT License
    • Linux
    • Apple
  • Why this server?

    A production-ready MCP server built with FastAPI, providing an enhanced tool registry for creating, managing, and documenting AI tools for Large Language Models (LLMs) - Useful in developing and deploying custom AI tools for your Vercel project.

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    A production-ready MCP server built with FastAPI, providing an enhanced tool registry for creating, managing, and documenting AI tools for Large Language Models (LLMs).
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    Python
  • Why this server?

    A TypeScript-based template for developing Model Context Protocol servers, which can help build custom tooling for interacting with Vercel or related services.

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    A TypeScript-based template for developing Model Context Protocol servers with features like dependency injection and service-based architecture, facilitating the creation and integration of custom data processing tools.
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  • Why this server?

    This server assists with orchestrating new software projects, applying standardized templates and best practices in design patterns and software architecture, which can streamline Vercel project setup.

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    An MCP server that assists with the orchestration of new software projects by applying standardized templates and best practices in design patterns and software architecture.
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    Python
    MIT License
    • Apple
  • Why this server?

    This CLI tool enables AI assistants to manage and operate Terraform environments, allowing you to read Terraform configurations, analyze plans, apply configurations, and manage state, relevant to configuring Vercel infrastructure.

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    🌍 Terraform Model Context Protocol (MCP) Tool - An experimental CLI tool that enables AI assistants to manage and operate Terraform environments. Supports reading Terraform configurations, analyzing plans, applying configurations, and managing state with Claude Desktop integration. ⚡️
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    Rust
    MIT License
    • Apple
  • Why this server?

    This implementation integrates Model Context Protocol (MCP) using Server-Sent Events (SSE) with FastAPI, allowing AI models to access external tools and data sources, which would enable AI based integrations with Vercel.

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    A Server-Sent Events implementation using FastAPI framework that integrates Model Context Protocol (MCP), allowing AI models to access external tools and data sources like weather information.
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    Python
    MIT License